Additive Model of Reliability of Biometric Systems with Exponential Distribution of Failure Probability

Document Sample
Additive Model of Reliability of Biometric Systems with Exponential Distribution of Failure Probability Powered By Docstoc
					                                                             (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                                 Vol. 9, No. 6, June 2011

     Additive model of reliability of biometric systems
     with exponential distribution of failure probability
                                                                                      Bihać, Bosnia and Hercegovina
                  Zoran Ćosić(Author)                                            
                     Statheros d.o.o.
                   Kaštel Stari, Croatia                                                Miroslav Bača (Author)
                                                                           Faculty of Organisational and Informational science
                                                                                           Varaždin, Croatia
                 Jasmin Ćosić (Author)                                         
           IT Section of Police Administration
         Ministry of Interior of Una-sana canton

Abstract— Approaches for reliability analysis of biometric              Data collection subsystem consists of a biometric sample,
systems are subject to a review of numerous scientific papers.          method of sampling, and sensors that are sampled. Signal
Most of them consider issues of reliability of component software       processing subsystem consists of drainage structures, quality
applications. System reliability, considering technical and             control and comparison of samples. Decision subsystem
software part, is of crucial importance for users and for
manufacturers of biometric systems.
                                                                        consists of the decision mechanisms and storage subsystems.

In this paper, the authors developed a mathematical model to            Schematisation of model described in figure 1 can be shown
analyse the reliability of biometric systems, regarding the             on figure 2.
dependence of components with exponential distribution of
failure probability.

   Keywords- Additive model, Biometric system, reliability,
exponential distribution, UML,
                                                                                                   Figure 2
                      I.     INTRODUCTION
                                                                           Schematic  presentation  of  a  biometric  [1]  system  is  a 
The general biometric system, according to [1] Wyman shown              simplified representation of a system in Figure 1 and shows 
in Figure 1, consists of 5 elements which are located in all            the serial configuration of system components dependence   
biometric systems today.

                                                                          II.   THE DEFINITION OF THE RELIABILITY OF BIOMETRIC

                                                                        Biometric system designers and producers are motivated to
                                                                        use already constructed components and modules. Component
                                                                        system has a high reliability expectations , no matter who is
                                                                        producer. Most of existing reliability models are so generally
                                                                        described to not consider particularity of components and
                                                                        modules. In this paper authors will describe methodology
                                                                        based on mathematical model which take account of
                                                                        component reliability and connections reliability also. UML
                                                                        methodology in describing system and his inner interaction,
                                                                        simplify approach for researchers.
                           Figure 1. [1]                                UML [2] is also becoming standard in the process of designing
                                                                        and manufacturing systems so production of component
Each subsystem consists of the elements that contribute to the          systems gets benefits from the UML representation.
overall system quality.

                                                                                                   ISSN 1947-5500
                                                                   (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                                       Vol. 9, No. 6, June 2011
Assessment of [3] generic biometric system reliability in UML
is given in Figure 3, which describes the use of Use Case                        Diagrams sequences play an important role in assessing the
diagram:                                                                         reliability of the system because they give information on how
                                                                                 many components are involved in the execution of a scenario.
                                                                                 Through sequence diagrams it is simple to count the periods of
                                                                                 availability of components in the given scenarios as shown in
                                                                                 figure (3). The probability of failure of components with
                                                                                 known busy periods, can be given by the following

                         Figure 3 [3]
                                                                                 In witch is:
                                                                                 -   - probability of component failure i in the scenario j
q1 and q2 represent the probability that users u1 and u2 will                    -     - occupancy time of component i in the scenario j
access the system using some of its functionality.
P11 and P12 represent the probability that user u1 will use the                  The expression (3) applies only if the following conditions are
functionality of f1 and f2, and P21 and P22 represent the same                   met:
probability for the user u2.
                                                                                      - Independence of failure: the probability of failure of
The probability of execution of use case x, is defined by the
                                                                                         one component does not depend on other components
                                                                                     -    Regularity of failure: the probability of failure of one
                                                                                          component is equal throughout the execution of
                                                                      (1)                 occupation period of the component
m is number of users.                                                            You can also show every moment of occupancy of any
                                                                                 component of the system considering the method to be
If we are able to join a no uniform distribution to Diagram of                   executed at that moment in the scenario
sequences in a given use case then (1) can be expressed as:
                                                                                 If we replace   with a set of method of failure probability
                                                                    (2)          where is                 then equation (3) becomes:

Where the fj (k) - frequency of the k-th transition of sequence
diagram in the j-th case. P (kj) – presents a probability of
default scenarios.                                                               During system operation, components interact and exchange
                                                                                 information. Then it is necessary to take into consideration
                                                                                 occupation period of the component:


                                                                                 Where is θij- the probability of failure of system components
                                                                                 and bp-busy period of the system.


                                                                                  Where is Ψlmj- the probability of failure connections between
                                                                                   the components and                         - the number of
                                                                                           interactions between system components.


                Figure 4 Sequence diagram [3]                                    The reliability of the system taking into account the
                                                                                 probability of failure can be expressed as:

                                                                                                            ISSN 1947-5500
                                                               (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                                   Vol. 9, No. 6, June 2011
                                                                          n2( Δt ) - number of failures in certain time interval Δt
                                                                          n1( t − Δt ) – the non failed number of elements at the end of
                                                                          the interval   Δt , or until t − Δt
                                                                          The intensity of the element failure is calculated by the
                                                              (7b)        expression:

                                                                                                     )        1
III.     RELIABILITY PREDICTION OF THE COMPONENTS SERIAL                                            λEL   =Θ=                                   (11)
           DEPENDENCE WITH EXPONENTIAL DISTRIBUTION                                                        n Θ⋅n
Based on the above assumptions [4], [5] system reliability can            Where is:
be calculated according to the law of exponential distribution:
                                                                          n- number of usable parts of the confidence interval
                                                                          (1 − α ) = 0, 75
                                                                          Θ - lower limit of confidence for the mean time between
In wich are:                                                              failures
Rs - System reliability
λ - Intensity of system fault                                             The total intensity of failure taking into consideration the
t - Required time of reliable operation of system                         number of elements that are not failed in a given time is
                                                                          calculated by formula:


                                                                          Where is:

                                                                          nEL- number of elements of subsystems that are not failed

                                                                          Mean time between failures MTBFs can be calculated using
In a serial dependence between of all parts of the system the             the expression:
failure of any part of the system may cause the failure of the
entire system.
Failure intensity function λs in the case of a serial dependence
of system elements is calculated by the expression:                                                                                             (13)


                                                                          Calculation of reliability [6] of some element is based on
  Where is λi - failure intensity of the i-th part of the system.
                                                                          empirical data on the time of functioning and eventual failure
                                                                          of the element.
 Failure intensity function λs is equal to the ratio between the
                                                                          Problem [7], [8] becomes more complex when the information
number of failures in the time-frame and the correct number of
                                                                          about the failure doesn't exist. In case that part worked
  elements in the system, until the beginning of this interval:
                                                                          perfectly, and information about the exploitation are available.
                                                                          If one assumes that the given part can apply the rule of the
                                                                          exponential distribution, it is possible to determine the upper
                                                              (10)        limit of confidence for the intensity of failure, in the cases of
                                                                          continuous operation or one or more failures.
Where is:
λs -function of failure intensity of system                               Lower limit of confidence for the mean time between
Δt - failure time of an system element                                    failures Θ , for confidence interval (1 − α ) is calculated using
                                                                          the formula:

                                                                                                         ISSN 1947-5500
                                                              (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                                  Vol. 9, No. 6, June 2011
                                                                         probability. In accordance with this authors will define
                        )        2tr               2tr                   mathematical model for recovery system probability than
                        Θ≥                   =                (14)       system readiness to use.
                             χ 2α ,2 r + 2       χ 20.25,2
Where is:
tr – total time of system operation
r – Number of elements that have failed                                  [1]   Zasnivanje otvorene ontologije odabranih segmenata biometrijske
                                                                               znanosti - Markus Schatten– Magistarski rad – FOI 2007
    χ 2α ,2r + 2   - Random variable which has distribution              [2]   Modelling biometric systems in UML – Miroslav Bača, Markus
                                                                               Schatten, Bernardo Golenja, JIOS 2007 FOI Varaždin
                                                                         [3]   A Bayesian Approach to Reliability Prediction and Assessment of
        IV.        SPECIAL CASE OF NOT-FAILURE SYSTEM                    [4]   Based Systems – KH. Singhy, V. Cortellessa, B. Cukic, E.
Considering (8), (10) and (14) we obtain an expression for the
                                                                         [5]   Department of Statistics, Lane Department of Computer Science and
reliability of the whole system:                                               Electrical Engineering West Virginia University, Proceedings of the
                                                                               12th International Symposium on Software Reliability Engineering
                                                              (15)             (ISSREí01) 1071-9458/01 2001 IEEE
                                                                         [6]   Simulacijsko modeliranje pouzdanosti tehničkog sustava brodskog
In futher calculations:                                                        kompresora – Zoran Ćosić – Magistarski rad - 2007
                                                                         [7]   Teorija pouzdanosti tehničkih sistema,           Vujanović Nikola,
                                                                               Vojnoizdavački novinski centar, Beograd 2005
                                                              (16)       [8]   The Impact of Error Propagation on Software Reliability Analysis of
                                                                               Component-based Systems – Petar Popic, Master thesis, West Vriginia
Taking into account (11) we obtain an expression for the
reliability of the each elements of the system:
                                                                                                      AUTHORS PROFILE
                                                                         Zoran Ćosić, CEO at Statheros ltd, and business consultant in business process
                                                                              standardization field. He received BEng degree at Faculty of nautical
                                                              (17)            science , Split (HR) in 1990, MSc degree at Faculty of nautical science ,
                                                                              Split (HR) in 2007 , actually he is a PhD candidate at Faculty of
                                                                              informational and Organisational science Varaždin Croatia. He is
                                                                              a member of various professional societies and program
         V.        CONCLUSION AND FURTHER RESEARCH                            committee           members.       He      is     author      or      co-
                                                                              author more than 20 scientific and professional papers. His main
The reliability of technical systems is the subject for many                  fields of interest are: Informational security, biometrics and privacy,
research scientists, according to that analysis are available in              business process reingeenering,
different models of reliability of biometric systems that in             Jasmin Ćosić has received his BE (Economics) degree from University of
most cases take into account the software as one of the                       Bihać, B&H in 1997. He completed his study in Information Technology
                                                                              field ( Technlogy) in Mostar, University of Džemal
components of the same system. This study developed                           Bijedić, B&H. Currently he is PhD candidate in Faculty of Organization
mathematical model of a generic biometric system that                         and Informatics in Varaždin, University of Zagreb, Croatia. He is
consider user, hardware and software influence and assumes                    working in Ministry of the Interior of Una-sana canton, B&H. He is a
serial dependence of the components and the exponential                       ICT Expert Witness, and is a member of Association of Informatics of
                                                                              B&H, Member of IEEE and ACM. His areas of interests are Digital
distribution of failure probability of system components.                     Forensic, Computer Crime, Information Security and DBM Systems. He
Scientific contribution is expressed through mathematical                     has presented and published over 20 conference proceedings and journal
model definition of biometric system reliability prediction                   articles in his research area
within special case where is not possible to get failure data or         Miroslav Bača is currently an Associate professor, University of Zagreb,
in the case of perfectly working system. The results of                       Faculty       of      Organization    and     Informatics.      He     is
                                                                              a member of various professional societies and program
calculations can prevent real failure events by defining                      committee members, and he is reviewer of several international
preventive maintenance.                                                       journals and conferences. He is also the head of the Biometrics centre in
This mathematical model allows the prediction of system                       Varaždin,         Croatia.      He      is      author       or       co-
                                                                              author more than 70 scientific and professional papers and two
reliability in the early fase of projecting of its components .               books. His main research fields are computer forensics, biometrics and
    The subject of further research will be to create an                      privacy professor at Faculty of informational and Organisational science
integrated mathematical model of reliability of complex                       Varaždin Croatia
systems that considers the parallel and combined dependency
of system components with different distributions of failure

                                                                                                          ISSN 1947-5500